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<pre><code>```python from transformers import pipeline classifier = pipeline("text-classification", model="your-username/unga-climate-classifier") text = "Climate change poses a fundamental threat to our future." result = classifier(text) print(result) ```</code></pre>
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It achieves the following results on the evaluation set:
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- Loss: 0.0807
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- Accuracy: 0.975
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<pre><code>```python from transformers import pipeline classifier = pipeline("text-classification", model="your-username/unga-climate-classifier") text = "Climate change poses a fundamental threat to our future." result = classifier(text) print(result) ```</code></pre>
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If you use this model or the underlying dataset or indicator, please cite:
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> [Authors’ Names]. "Executive Climate Change Attention: Toward an Indicator Based on Political Speech." *Global Environmental Politics* (2024). [https://doi.org/10.1162/glep.a.1/131712](https://doi.org/10.1162/glep.a.1/131712)
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```bibtex
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@article{author2024executive,
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title={Executive Climate Change Attention: Toward an Indicator Based on Political Speech},
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author={LastName, FirstName and Coauthor, AnotherName},
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journal={Global Environmental Politics},
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year={2024},
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publisher={MIT Press},
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doi={10.1162/glep.a.1/131712}
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}
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```
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It achieves the following results on the evaluation set:
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- Loss: 0.0807
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- Accuracy: 0.975
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